Literature DB >> 26355375

The Magnitude of Bias in the Measurement of PM25 Arising from Volatilization of Particulate Nitrate from Teflon Filters.

S Hering1, G Cass2.   

Abstract

Because the Federal Reference Method for PM25 specifies the collection of ambient particles on Teflon filters, we have examined the loss of a known volatile species, particulate nitrate, during sampling. Data are presented from two studies in southern California for which parallel samples were collected by different methods. Differences in collected nitrate are modeled using an evaporation model based on the work of Zhang and McMurry. The average nitrate obtained from sampling with Teflon filters was 28% lower on average than that measured by denuded nylon filters. In contrast, cascade impactor samples were within 5% of the denuded nylon filter on average. A simple model is presented that accounts for the particulate nitrate loss from Teflon filters either by scavenging nitric acid and ammonia in the sampler inlet or by heating the filter substrate during sampling. The observed magnitude of loss is explained by any of the following situations: (1) 100% nitric acid and ammonia vapor loss in the inlet, (2) 5 °C heating of the filter substrate above ambient temperature during sampling, or (3) a combination of these factors, such as 50% vapor loss in the inlet and 3 °C heating of the filter.

Entities:  

Year:  1999        PMID: 26355375     DOI: 10.1080/10473289.1999.10463843

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  7 in total

1.  Continuous and filter-based measurements of PM 2.5 nitrate and sulfate at the Fresno Supersite.

Authors:  Judith C Chow; John G Watson; Douglas H Lowenthal; Kihong Park; Prakash Doraiswamy; Ken Bowers; Richard Bode
Journal:  Environ Monit Assess       Date:  2007-10-12       Impact factor: 2.513

2.  Approach to estimating participant pollutant exposures in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).

Authors:  Martin A Cohen; Sara D Adar; Ryan W Allen; Edward Avol; Cynthia L Curl; Timothy Gould; David Hardie; Anne Ho; Patrick Kinney; Timothy V Larson; Paul Sampson; Lianne Sheppard; Karen D Stukovsky; Susan S Swan; L J Sally Liu; Joel D Kaufman
Journal:  Environ Sci Technol       Date:  2009-07-01       Impact factor: 9.028

3.  Composition and sources of fine particulate matter across urban and rural sites in the Midwestern United States.

Authors:  Shuvashish Kundu; Elizabeth A Stone
Journal:  Environ Sci Process Impacts       Date:  2014-05       Impact factor: 4.238

4.  Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models.

Authors:  Minghui Diao; Tracey Holloway; Seohyun Choi; Susan M O'Neill; Mohammad Z Al-Hamdan; Aaron Van Donkelaar; Randall V Martin; Xiaomeng Jin; Arlene M Fiore; Daven K Henze; Forrest Lacey; Patrick L Kinney; Frank Freedman; Narasimhan K Larkin; Yufei Zou; James T Kelly; Ambarish Vaidyanathan
Journal:  J Air Waste Manag Assoc       Date:  2019-10-15       Impact factor: 2.235

5.  Determination of water-soluble atmospheric aerosols using ion chromatography.

Authors:  Tinamarie Fosco; Martina Schmeling
Journal:  Environ Monit Assess       Date:  2007-01-23       Impact factor: 3.307

6.  Mass reconstruction methods for PM2.5: a review.

Authors:  Judith C Chow; Douglas H Lowenthal; L-W Antony Chen; Xiaoliang Wang; John G Watson
Journal:  Air Qual Atmos Health       Date:  2015-05-07       Impact factor: 3.763

7.  Sources and Characteristics of Particulate Matter in Subway Tunnels in Seoul, Korea.

Authors:  Yongil Lee; Young-Chul Lee; Taesung Kim; Jin Seok Choi; Duckshin Park
Journal:  Int J Environ Res Public Health       Date:  2018-11-12       Impact factor: 3.390

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.